code: def np_to_xshard(x, prefix="x"):
      x = XShards.partition(x)
  
      def transform_to_dict(train_data):
          return {prefix: train_data}
  
      return x.transform_shard(transform_to_dict)
  
file_path: analytics-zoo/pyzoo/zoo/chronos/forecaster/utils.py
imports: import torch
  import random
  import numpy
  from torch.utils.data import TensorDataset, DataLoader
  import numpy
  from zoo.orca.data import XShards
label_desc: Use image node_id 4 for calling a global function with example usage: np_to_xshard(x, prefix) and returns: x, dict